SwissCognitive Guest Blogger: Aparna M.A – “Life on the Front Lines: How AI is Reimaging Emergency Medical Services”

Technological advancements are enhancing emergency medical services globally. From drones to AI robots for emergency dispatches, the world is moving fast forward with the help of artificial intelligence. In this article, we will walk through emergency medical services and how AI is playing a pivotal role in transforming the world, we live in and the future we are yet to know.

Emergency services that offer immediate pre-hospital care and transportation for critical diseases and injuries are known as emergency medical services (EMS). They can be contacted by members of the public, healthcare facilities, businesses, emergency services, and authorities via an emergency telephone number, and this encompasses ambulance services, paramedic services, and more.

Although ambulances are often the main mode of transportation for EMS organizations, they can also make use of squad cars, motorcycles, planes, boats, and other vehicles. Some EMS organizations may also include rescue squads and non-emergency patient transport services in addition to emergency care.

This article will be the ultimate guide on emergency medical services and how AI is assisting in saving millions of lives.

In situations of medical emergencies and high-risk patients, such as car accidents, house injuries, fires, and natural catastrophes, every minute, if not every second, spent without care could lower the likelihood of survival or full recovery.

In fact, after just 4 minutes of oxygen deprivation, permanent brain damage starts to develop, and death can happen as quickly as 6–8 minutes later. Digital health innovations that make patients the point of care might turn out to be game-changers for first responders and emergency units in this race against time.

This is exactly why the application of artificial intelligence and technological advancements in emergency medical service is paramount.

AI to detect and predict accidents in real time before they could occur

Artificial intelligence is revolutionizing multiple aspects of healthcare, especially drug delivery, diagnosis, and now has stepped into the realm of emergency medical services. Hexagon Software also unveiled its artificial intelligence (AI) emergency services solution in 2020. Their HxGN OnCall Dispatch | Smart Advisor technology continuously mines and analyzes operational data to identify trends and detect significant events.

The insights enable emergency teams to react and coordinate more quickly when anomalies are discovered earlier. Furthermore, the National Ambulance Service in Hungary is utilizing AI for capacity allocation and logistics.

These advancements are further likely to propel the emergency medical service. As stated by Extrapolate, the global Emergency Medical Services Market size is projected to reach USD 35.4 billion by 2032.

AI video games eliciting decision making

Level Ex, a Chicago-based startup, creates mobile video games for medical professionals to train them. For instance, their Airway Ex app provides realistic scenarios for medical professionals and paramedics to better prepare for difficult airway management.

The software rates the worker’s performance in terms of speed, damage done, bleeding, and also keeps track of the virtual patient’s vital signs as the procedure is carried out. Additionally, it may be used anywhere, including at home, on the tube, and even while on vacation in Dubai.

Paramedics can alert the emergency department before arriving with patients

According to some estimates, medical staff miscommunication accounts for up to 80% of clinical errors. Such mistakes should be eliminated as much as possible when providing emergency care, and modern software applications can assist.

With the use of its mobile-connected app, paramedics can notify and prepare an emergency department before their arrival with the patient. It does this not only by estimating the time of arrival using GPS but also by enabling users to exchange crucial information like the ECG or pictures taken in the field. These innovations are just the tip of the iceberg.

World’s first AI system for emergency dispatch is out

The 101 Emergency Dispatch Centre of Magen David Adom now has a new artificial intelligence system to assist EMTs and paramedics in getting the information they require so that help can arrive more quickly. The Hebrew-language system was created in collaboration with the voice networking and media processing solutions provider Audio Codes.

MDA claims that it is the first system of its sort created with an emergency dispatch center in mind. When there is a problem with the call’s quality, the system helps the dispatch center by providing a real-time transcription of the call on the 101 lines.

AI robotic drones rescuing lives in emergency medical cases

University of California researchers are investigating if AI technology can be used to send drones equipped with medical supplies to an emergency location that is difficult for EMS vehicles to reach promptly. The study focuses on how to choose the right time to dispatch a drone as well as how and where to locate drones for quick deployment by healthcare professionals.

With emergency medical services increasingly embracing artificial intelligence and technological advancements, this industry is proving to be at the forefront of the future.

Artificial intelligence (AI) enables patient care systems to evaluate early signs and symptoms and route patients to the best hospital, leading to precise and efficient treatments. The UK’s National Health Service displayed an AI tool that can diagnose cardiac problems in under 20 seconds, as opposed to the usual 13 minutes. Then there are portable point-of-care diagnostic tools like ECGs that can transmit data to the physician even before the patient reaches the emergency room.

IoT and Wearable devices acting as the silent guardians

EMS is not an exception to how the Internet of Things (IoT) is revolutionizing healthcare. Sensor-equipped wearables can continually track physiological indicators, including oxygen levels and vital signs. These devices have the ability to communicate real-time data to EMS providers in an emergency, allowing for the early identification of urgent conditions and prompt care. Additionally, because of this connectedness, patients with chronic illnesses can be monitored remotely, which eliminates the need for frequent hospital visits.

Future of Emergency Medical Services

With AI and technology, the Emergency Medical Services (EMS) of the future are poised for radical change. AI algorithms will improve triage and diagnosis, enabling paramedics and emergency medical dispatchers to make choices more quickly and accurately. Virtual and augmented reality will offer immersive training opportunities and real-time patient information.

Drones will deliver supplies and handle emergency situations, while IoT and wearable technology will permit remote monitoring. Resource allocation and coordination will be optimized via data analytics, predictive modelling, and AI-driven communication platforms. Utilizing these breakthroughs to improve EMS care necessitates careful application and privacy issues.

About the Author:

Aparna M.A is an AI and tech enthusiast with her recent work covering domains of technology, innovation, and delivering what influences the industry landscape! She closely follows innovation in the Artificial Intelligence-Machine Learning landscape and writes on what’s brewing hot in the industry.

Der Beitrag Life on the Front Lines: How AI is Reimaging Emergency Medical Services erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

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From obnoxious British stag do goers to snap-happy Chinese mainlanders, the streets of Budapest – that’s Hungary’s capital city for the geographically challenged – are chock full of people enjoying the “Paris of the East.” It’s a city built on a vast network of underground caves and springs which means there’s plenty of sauna action to be found, not just for the sort of lads who cruise Soho’s Sweatbox on weekday nights. We recently airdropped one of our MBAs into the city center to bathe in its healing waters and speak with a startup that’s trying to heal people using artificial intelligence.

Turbine – Simulating Cancer Cells Using AI

Founded in 2015, Budapest startup Turbine has taken in an undisclosed amount of funding to develop a platform that uses artificial intelligence to better understand cancer tumors. As we’ve talked about in past articles, there is no single “ cure for cancer ” given that there over 100 types of cancer and each case is unique. What all types of cancer share in common is the aggressive replication of cells that form the tumors which surgeons then try to remove.

What Turbine does is to use tumor-specific DNA and RNA data to then create “Simulated Cells” which are simulations that mimic the behavior of actual cancer cells. A look at their white paper shows an incredibly complex technology that’s difficult to grasp without having any medical background. Fortunately, we have MBAs on staff – people who excel at getting other people to do all the work and taking credit for it. One of our MBAs sat down with Co-founder and Chief Technology Officer at Turbine, Kristóf Szalay, to try and better understand the technology platform he’s been working on for nearly a decade.

Building Digital Cells

A few years back, we published an article on 9 Computational Drug Discovery Startups Using AI in which we attempted to explain the drug discovery process in the simplest of ways as follows:

• Find a new protein in body to hit with molecule
• Find molecule(s) that binds to protein in body
• Once you find a hit, then turn it into something that can be introduced to a living being

That’s the end goal. In a subsequent article, we looked at How Computational Chemistry Helps Drug Discovery by using computer simulations to assist in solving chemical problems. That’s what Turbine is doing, and the first step in their process is to create simulated cells – digital recreations of living things.[…]

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Der Beitrag Simulating Cancer Cells Using Artificial Intelligence erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

copyright by bbj.hu

At the same time, it poses unique risks: ethical, legal and regulatory challenges. These issues need to be carefully addressed in Hungary as well. The scope, speed and nature of the response will have a significant impact on the success of AI.

When AI Fails to Perform

One of the most important legal issues raised by the increasing use of AI technology is dealing with the damage caused by its potential failure. As a result, we will likely see an increase in AI-related disputes over the next decade. For example, a driverless car may hit a pedestrian, a drone partially operated by a pilot may crash and cause damage, AI software may diagnose the wrong medical treatment. As there are many parties involved in the operation of an AI system (data provider, designer, manufacturer, programmer, developer, user and the AI system itself), liability is difficult to establish when something goes wrong.

Ownership of the Creations of AI

Another challenge is that the current intellectual property laws are not well suited to deal with the situation where an AI creates potential intangible assets. Patent law generally considers the inventor as the first owner of the invention. If an autonomous AI generates an invention, there is no legal owner; the AI technology cannot own the invention, and in many cases tangible assets can only arise if there is a human creator. At this stage of development, it may not be possible to give autonomous AI the status of a legal person. Humans should have the ethical duty to take responsibility for any autonomous AI technology they commission, deploy or use.

GDPR Compliance

Data protection has taken center stage this year with the EU General Data Protection Regulation (GDPR). The use of AI solutions may involve the processing of personal data and engage someone’s obligations as a data controller. As in the case of determining the liability of AI, it is difficult to determine who is the controller of the personal data processed by the AI (data provider, designer, manufacturer, programmer, developer, user or AI system itself). The data controller will need to bear in mind the data protection principles set out in the GDPR, all of which are likely to be relevant to data collection through AI, analyzing and potentially acting on the results.[…]

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Der Beitrag AI: Control it or be Controlled erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.